Framework to enable integration of anti-spam technologies

Abstract

A method that enables multiple spam detection solutions to be deployed in a manageable and rational manner to determine if a message is spam is presented. A framework invokes anti-spam filters to analyze the message and return confidence levels of whether a message is spam. The framework evaluates the highest confidence level against a set of defined thresholds. If the highest confidence level is greater than the highest threshold set by the administrator, the action specified for the highest threshold is taken. The highest confidence level is also compared against all thresholds and the action associated with the nearest threshold that has been exceeded is taken.

Description

CROSS-REFERENCE TO RELATED PATENT APPLICATIONS[0001]This patent application is a continuation-in-part of copending U.S. patent application Ser. No. 10 / 339,508, filed Jan. 9, 2003.FIELD OF THE INVENTION[0002]This invention relates generally to electronic messaging and, more particularly, relates to filtering undesired electronic mail.BACKGROUND OF THE INVENTION[0003]Electronic messaging, particularly electronic mail (“e-mail”) carried over the Internet, is rapidly becoming not only quite pervasive in society but also, given its informality, ease of use and low cost, a preferred method of communication for many individuals and organizations.[0004]Unfortunately, e-mail recipients are increasingly being subjected to unsolicited mass mailings. With the growth of Internet-based commerce, a wide and growing variety of electronic merchandisers are repeatedly sending unsolicited mail advertising their products and services to an ever-expanding universe of e-mail recipients. Most consumers wh...

AI Technical Summary

Benefits of technology

[0009]The present invention provides a framework that enables multiple spam detection solutions to be deployed to work together in a manageable and rational manner and enables new innovations to be created and deployed under a rapid deployment model.

Problems solved by technology

Unfortunately, e-mail recipients are increasingly being subjected to unsolicited mass mailings.

For example, recipients who merely provide their e-mail addresses in response to perhaps innocuous appearing requests for visitor information generated by various web sites often receive unsolicited mail and much to their displeasure, they find that they have been included on electronic distribution lists.

Consequently, over time, e-mail recipients often find themselves increasingly barraged by unsolicited mail resulting from separate distribution lists maintained by a wide and increasing variety of mass mailers.

Furthermore, while many unsolicited e-mail messages are benign, such as offers for discount office or computer supplies, mortgage rate quotes, or invitations to attend conferences of one type or another, others, such as pornographic, inflammatory and abusive material, are offensive to their recipients.

Unfortunately, the choice of whether a given e-mail message is spam or not is highly dependent on the particular recipient and the actual content of the message.

What may be spam to one recipient may not be spam to another, which limits the functionality of turf lists.

None of the techniques are 100% effective.

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